Efficient multi-dimensional storage of very large dense, sparse and semi-sparse image datasets with machine learning

Abstract

Methods, apparatus, and systems for high-resolution image storage and analysis are disclosed. In one disclosed embodiment, a method includes analyzing a high-resolution image; partitioning the high-resolution image into logical blocks; detecting objects in the high-resolution image within the logical blocks, assigning objects that differ or with differing measures to differing layers, and assigning objects that are similar or with similar measures to the same layer; tabulating the detected objects into a table, wherein each row indicates a spatial position of each detected object and at least one measure of each detected object; storing the spatial position and the at least one measure of each detected object into the table; spatially rendering selected objects over the high-resolution image; and displaying the selected objects at a selected resolution within a portion of the high-resolution image on a display device.